本文選題：道路結(jié)構(gòu)識(shí)別 + 道路交叉口�。� 參考：《武漢大學(xué)學(xué)報(bào)(信息科學(xué)版)》2016年09期

【摘要】：道路網(wǎng)數(shù)據(jù)中微觀結(jié)構(gòu)的識(shí)別對于多尺度路網(wǎng)建模、步行導(dǎo)航等至關(guān)重要。復(fù)雜道路交叉口是重要的道路微觀結(jié)構(gòu)之一,針對目前道路復(fù)雜交叉口基于幾何形狀描述與圖形匹配識(shí)別方法存在的不足,從復(fù)雜交叉口識(shí)別與化簡的角度出發(fā),提出了一種利用路段分類進(jìn)行復(fù)雜道路交叉口識(shí)別與化簡的方法。該方法首先通過點(diǎn)密度聚類的方法對道路交叉口進(jìn)行定位,然后利用路段的規(guī)模、形狀和屬性等特征構(gòu)建特征空間,將交叉口的識(shí)別作為一種區(qū)分主干路段與輔助路段的兩類分類問題,利用支持向量機(jī)的方法對交叉口區(qū)域內(nèi)的路段進(jìn)行分類,從而完成交叉口的識(shí)別與化簡。利用開放街道地圖(OpenStreetMap)數(shù)據(jù)進(jìn)行實(shí)驗(yàn),結(jié)果表明,該方法能夠有效地識(shí)別道路交叉口。
[Abstract]:The identification of microstructure in road network data is very important for multi-scale road network modeling and walking navigation. Complex road intersection is one of the most important micro structures of roads. In view of the shortcomings of the current methods of road complex intersection recognition based on geometric shape description and graph matching, the recognition and simplification of complex intersection are considered. This paper presents a method of identifying and simplifying complex road intersections by using road section classification. The method firstly uses the point density clustering method to locate the road intersection, and then constructs the feature space by using the characteristics of the road section, such as size, shape and attribute, etc. The recognition of intersection is regarded as a kind of classification problem that distinguishes the main road section from the auxiliary road section, and the method of support vector machine is used to classify the road section in the intersection area, so as to complete the identification and simplification of the intersection. The experimental results show that the method can effectively identify the road intersection by using the OpenStreetMap data.
【作者單位】： 信息工程大學(xué);96633部隊(duì);
【基金】：國家863計(jì)劃(2012AA12A404) 國家自然科學(xué)基金(41571399,41201391,41071297,41201469)~~
【分類號(hào)】：P208

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